recipe bioconductor-neuca

NEUral network-based single-Cell Annotation tool

Homepage

https://bioconductor.org/packages/3.14/bioc/html/NeuCA.html

License

GPL-2

Recipe

/bioconductor-neuca/meta.yaml

NeuCA is is a neural-network based method for scRNA-seq data annotation. It can automatically adjust its classification strategy depending on cell type correlations, to accurately annotate cell. NeuCA can automatically utilize the structure information of the cell types through a hierarchical tree to improve the annotation accuracy. It is especially helpful when the data contain closely correlated cell types.

package bioconductor-neuca

Versions

1.0.0-0

Depends

• bioconductor-limma >=3.50.0,<3.51.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• r-base >=4.1,<4.2.0a0

• r-e1071

• r-keras

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-neuca

and update with:

conda update bioconductor-neuca

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-neuca:<tag>

(see bioconductor-neuca/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-neuca/README.html)